E-Governance as a Tool for Transparent and Peaceful Public Administration: Evidence from Bangladesh

Uluslararası İleri Doğa Bilimleri ve Mühendislik Araştırmaları Dergisi Sayı 9, S. 10-24, 12, 2025 © Telif hakkı IJANSER’e aittir Araştırma Makalesi https://as-proceeding.com/index.php/ijanser ISSN:2980-0811 International Journal of Advanced Natural Sciences and Engineering Researches Volume 9, pp. 10-24, 12, 2025 Copyright © 2025 IJANSER Research Article 10 E-Governance as a Tool for Transparent and Peaceful Public Administration: Evidence from Bangladesh Fatema Akter* 1Department of Peace and Conflict Studies, University of Dhaka, Bangladesh (ORCID: https://orcid.org/0009-0005-04343742) *Fatema3[email protected]om (Received: 26 November 2025, Accepted: 01 December 2025) ATIF/REFERENCE: Akter, F. (2025). E-Governance as a Tool for Transparent and Peaceful Public Administration: Evidence from Bangladesh, International Journal of Advanced Natural Sciences and Engineering Researches, 9(12), 9-24. Abstract – This study explores the role of e-governance as both a communication and service-delivery tool that enhances transparency, citizen trust, efficiency, and peaceful public administration in Bangladesh. The research adopts a mixed-methods approach, integrating quantitative survey data (n = 300) with a municipallevel case study (n = 120 service cases) to provide a comprehensive analysis of how digital governance initiatives influence citizen perceptions and administrative performance. The survey investigates public attitudes toward e-governance, focusing on perceived transparency, trust, accessibility, and responsiveness, while the case study examines measurable improvements in service delivery, including processing times, error rates, and citizen satisfaction. Findings indicate moderate levels of citizen trust in e-governance platforms, with a mean trust score of 3.26 out of 5. Analysis of service efficiency shows significant reductions in average service time, from 12.45 days prior to implementation to 8.38 days post-adoption. Additionally, the study identifies a positive relationship between education level and perceived transparency and efficiency, highlighting the importance of digital literacy in maximizing the benefits of egovernance. Qualitative insights from the case study reveal that clear communication, timely updates, and interactive digital tools contribute substantially to citizen satisfaction and confidence in public administration. The research further considers the potential of emerging innovations, including artificial intelligence, to enhance the predictability, personalization, and transparency of public services. AI-driven tools, such as automated information portals, chatbots, and predictive analytics, are discussed as mechanisms for improving both efficiency and citizen engagement. The study concludes with policy recommendations for integrating digital innovations into Bangladesh’s public administration, emphasizing citizen-centered design, transparency, and participatory communication strategies. These findings contribute to the broader discourse on digital governance and provide actionable insights for policymakers aiming to strengthen trust, efficiency, and stability in public service delivery. Keywords – e-governance, transparency, citizen trust, public administration, Bangladesh, digital government, artificial intelligence, service efficiency International Journal of Advanced Natural Sciences and Engineering Researches 11 I. INTRODUCTION E-governance initiatives have emerged globally as essential tools for modernizing public administration, improving transparency, reducing corruption, and enhancing the efficiency of service delivery [1], [2], [15]. By leveraging digital technologies, governments can streamline administrative processes, minimize discretionary behavior, and foster accountability, thereby increasing public trust and promoting peaceful governance [3], [11], [18]. In Bangladesh, the past decade has witnessed a significant acceleration in the digitalization of government services, driven by policies such as the Digital Bangladesh agenda and the expansion of online service portals, supported by government programs such as a2i [21] and global digital governance benchmarks [27], [28]. These initiatives aim not only to improve operational efficiency but also to strengthen citizen engagement by facilitating easier access to information, enabling online service requests, and providing real-time updates on administrative procedures [4], [5], [20]. Despite these developments, the success of e-governance in achieving its intended outcomes depends largely on citizen perceptions and usage patterns. Understanding how citizens experience digital government services—whether they perceive these services as transparent, reliable, and efficient—remains crucial for evaluating the impact of e-governance on public administration [6], [7], [8]. Furthermore, measuring service delivery indicators, such as processing times, error rates, and response efficiency, provides empirical evidence regarding the effectiveness of digital interventions [10], [12], [24]. Prior studies have shown that digital systems can reduce information asymmetry, minimize bureaucratic friction, and enhance accountability, contributing to improved citizen trust and institutional legitimacy [2], [13], [14]. This study adopts a mixed-methods approach, combining quantitative survey data (n = 300) with a municipal-level case study of service delivery (n = 120 service cases), following methodological frameworks widely used in e-governance evaluation research [9], [16], [29]. The survey explores public perceptions of e-governance, including perceived transparency, responsiveness, accessibility, and trust in government institutions, while the case study examines measurable changes in service delivery metrics before and after digital tool implementation. By integrating subjective perceptions with objective performance indicators, the research provides a comprehensive assessment of the role of e-governance as both a communication mechanism and an administrative reform tool [17], [18], [30]. Ultimately, this study contributes to broader discussions on digital governance in developing countries, offering policy insights for enhancing transparency, reducing bureaucratic inefficiencies, and strengthening citizen trust through effective digital transformation [19], [22], [23]. II. AIMS AND RESEARCH QUESTIONS The primary aim of this study is to investigate the effectiveness of e-governance in Bangladesh as a tool for enhancing transparency, building citizen trust, and improving public service delivery, in line with findings from global and regional studies on digital governance reforms [1], [2], [5]. The research further examines how emerging digital innovations—including artificial intelligence (AI)—shape public perceptions and institutional performance, reflecting current scholarly debates on the transformative role of technology in governance [18], [29], [30]. By analyzing both citizen perceptions and measurable service delivery outcomes, this study seeks to develop a comprehensive understanding of how digital interventions influence administrative efficiency, accountability, and public satisfaction [3], [10], [24]. Additionally, the research aims to identify socio-demographic factors affecting the adoption and perception of digital services, supporting the growing emphasis on inclusive, citizen-centered e-governance frameworks [7], [8], [12]. International Journal of Advanced Natural Sciences and Engineering Researches 12 A. Citizen Trust and Perceived Transparency a. What is the current level of citizen trust in e-governance platforms, and how do citizens perceive the transparency of digital government processes? This question reflects the core arguments that transparency and trust are interlinked and significantly influenced by digital accessibility and information flow [2], [6], [11]. b. How do interactive communication channels, automated services, and online information portals contribute to or hinder trust and transparency? Prior studies highlight the importance of digital communication quality and platform usability in strengthening institutional legitimacy [13], [14], [17]. c. Purpose: This component explores the subjective dimensions of e-governance effectiveness—how citizens interpret digital systems, how transparency mechanisms support accountability, and how user experience influences trust [24], [27]. B. Impact on Service Delivery Efficiency a. Does the implementation of e-governance reduce processing time for routine administrative tasks? Many studies demonstrate measurable efficiency gains from digitalization, including reductions in delays and bureaucratic bottlenecks [3], [10], [20]. b. What improvements can be observed in service delivery indicators such as accuracy, responsiveness, and predictability? Research consistently shows that digital workflows improve administrative consistency, reduce errors, and improve monitoring capacity [15], [16], [28]. c. Purpose: This section emphasizes empirical, performance-based evaluation, a key focus of egovernance literature assessing operational efficiency and service quality [18], [24]. C. Influence of Socio-Demographic and Awareness Factors a. How do variables such as education, age, and AI awareness shape perceptions of egovernance? Earlier research suggests that digital adoption is influenced by literacy, awareness, and generational differences [7], [12], [31]. b. Are digitally literate or younger citizens more likely to perceive e-governance as transparent and trustworthy? This aligns with existing digital divide literature showing variations in digital service uptake based on socio-cultural and demographic variables [9], [25]. c. Purpose: This component seeks to understand how inequality in digital competency affects user experience, reinforcing the importance of inclusive and accessible governance strategies [19], [22]. By addressing these questions, the study provides evidence-based insights to help policymakers strengthen digital governance frameworks in Bangladesh. The combination of citizen perceptions and measurable administrative outcomes allows for a holistic assessment of e-governance effectiveness, contributing meaningfully to academic discourse on digital public administration and to practical policymaking aimed at improving transparency, accountability, and citizen trust [4], [5], [23]. International Journal of Advanced Natural Sciences and Engineering Researches 13 III. LITERATURE REVIEW A. E-Governance and Transparency A substantial body of research highlights that digitalisation in public administration can enhance transparency and accountability by reducing information asymmetry and making government processes more traceable [1], [2], [6]. E-governance platforms allow citizens to access official records, track service requests, and monitor decision-making workflows, thereby limiting discretionary behavior and opportunities for corruption. Studies from Bangladesh demonstrate improvements in administrative visibility following the introduction of online portals, municipal e-services, and integrated digital platforms, although challenges remain regarding digital literacy and system accessibility [4], [5], [20]. The theoretical foundation for understanding transparency in digital governance commonly draws on principal–agent theory, where digital systems reduce information gaps between citizens (principals) and officials (agents), and on Habermas’ concept of the public sphere, which emphasizes communication and information access as essential for public oversight [14], [27]. These frameworks underscore the role of e-governance as a mechanism for strengthening democratic accountability through improved access to information. B. Citizen Trust and Uptake Citizen trust is widely acknowledged as a critical determinant of e-governance adoption. Research shows that trust in public institutions and trust in digital systems strongly influence citizens’ willingness to use online government services [2], [7], [29]. Factors such as system usability, platform reliability, and data protection mechanisms play central roles in shaping user confidence. Empirical findings from Bangladesh indicate that citizens with higher digital literacy and greater exposure to online services report stronger levels of trust and satisfaction with e-governance platforms [8], [12], [31]. These trends align with the Technology Acceptance Model (TAM), which argues that perceived ease of use and perceived usefulness drive the adoption of digital technologies in public administration [17]. Institutional trust frameworks further emphasize that transparency, responsiveness, and accountability in digital platforms can reinforce public confidence and sustain long-term user engagement [11], [24]. C. Service Efficiency and Conflict Reduction Efficiency gains achieved through e-governance are not only administrative improvements but also mechanisms for reducing conflict and social tension in public-service interactions. Digital systems streamline workflows, reduce processing errors, and provide more predictable outcomes, thus limiting bureaucratic friction and citizen–official disputes [1], [3], [15]. Case studies in Bangladesh and other developing contexts reveal measurable reductions in service delivery time following digitalization efforts, demonstrating both operational enhancements and improved citizen satisfaction [10], [16], [28]. The literature emphasizes that e-governance should be viewed not merely as a technological intervention but as a socioorganizational reform that enhances institutional legitimacy and mitigates conflict arising from opaque or inefficient bureaucratic practices [18], [19], [25]. D. Innovations and Artificial Intelligence (AI) Emerging research highlights the transformative potential of artificial intelligence (AI) in public administration—particularly in enhancing decision-making, fraud detection, predictive service delivery, and automated transparency dashboards [29], [30]. AI-driven applications such as chatbots, automated information systems, and data-analytics platforms can improve the speed International Journal of Advanced Natural Sciences and Engineering Researches 14 and accuracy of government responses, facilitate citizen engagement, and support evidencebased policymaking [18], [31]. However, scholars caution that AI introduces new governance challenges, including algorithmic bias, opaque decision-making processes, data-privacy risks, and concerns about ethical accountability [29], [30]. AI governance frameworks stress the importance of fairness, transparency, and citizen-centered design to ensure that innovations enhance—rather than weaken—public trust [27], [28]. In Bangladesh and many other developing countries, the integration of AI into e-governance remains promising but requires careful consideration of digital literacy gaps, equitable access to technologies, and institutional readiness for advanced digital solutions [5], [20], [23]. Overall, the literature demonstrates that e-governance operates as a communication-centered system that enhances transparency, citizen trust, and administrative efficiency. Simultaneously, the emergence of AI presents significant opportunities and risks that must be managed through robust governance frameworks. These insights provide the theoretical foundation for analyzing citizen perceptions and service-delivery outcomes in this study and for designing inclusive, transparent, and effective digital governance strategies. IV. MATERIALS AND METHODS A. Research Design This study employs a mixed-methods explanatory design to evaluate how e-governance contributes to transparency, citizen trust, and administrative efficiency. The design integrates quantitative survey data with a quantitative municipal case study, allowing triangulation between subjective user perceptions and objective administrative records. This mixed approach strengthens the analysis by combining behavioral indicators with operational performance metrics, following standard digital-governance research methodologies [1], [3], [4]. B. Data Sources and Sampling The study uses two primary data sources: a. Citizen Survey: A total of N = 300 respondents were selected through stratified random sampling across urban and peri-urban regions in Bangladesh. Eligibility required prior use of at least one e-governance service. Ethical approval was obtained from the University of Dhaka, and informed consent was collected. The survey measured constructs such as trust, transparency, efficiency, usage frequency, and awareness of AI-enabled tools, consistent with previous studies on e-government adoption [2], [6], [7]. b. Municipal Case Study: Administrative records were collected for n = 120 municipal service applications (e.g., certificates, permits). For each case, service processing times were recorded before and after the introduction of e-governance modules. Supplementary qualitative notes from municipal officials and policy documents were also reviewed to contextualize the operational changes, following case-study procedures used in digital public-service research [1], [4]. C. Measures and Instruments The study employed the following variables and measurement tools: a. Trust_score: 1–5 Likert scale evaluating trust in government digital services. b. Transparency_score: 1–5 scale measuring perceived administrative transparency. International Journal of Advanced Natural Sciences and Engineering Researches 15 c. Efficiency_score: 1–5 scale assessing perceived efficiency of e-governance services. d. Use_frequency_per_week: Count variable capturing weekly usage frequency of online services. e. AI_awareness: Binary variable (0 = unaware, 1 = aware) reflecting familiarity with AIenabled tools. f. Service time: Number of days from submission to completion, extracted from municipal records. All instruments were pre-tested for clarity. Internal reliability for the multi-item scales (trust, transparency, efficiency) was assessed using Cronbach’s alpha, consistent with recommended practices for survey-based studies [3]. D. Analytical Approach Both descriptive and inferential statistical methods were applied: a. Descriptive statistics summarized population-level perceptions of trust, transparency, and efficiency. b. Paired t-tests were used to compare service-processing times before and after e-governance implementation to quantify efficiency improvements. c. ANOVA and multiple regression analyses examined the influence of socio-demographic factors and AI awareness on citizen perceptions, informed by earlier models of technology acceptance and institutional trust [2], [6]. d. Triangulation techniques were applied by integrating administrative records with interview notes and policy documents, following mixed-methods governance research standards [1], [4]. This methodological structure ensures a rigorous assessment of both experiential and operational dimensions of e-governance, supporting reliable and actionable insights for future digital-governance development in Bangladesh. V. RESEARCH FINDINGINS A. Sample Description The survey included n = 300 respondents aged 18–64 years, with 60% female, 38% male, and 2% identifying as other. Respondents’ education levels varied from secondary education to postgraduate degrees. AI awareness was limited, with 28.7% reporting familiarity with AI applications in public services. Table 1 summarizes descriptive statistics for key variables. International Journal of Advanced Natural Sciences and Engineering Researches 16 Table 1. Descriptive statistics of survey sample Variable N Mean SD Min Max Trust_score 300 3.26 0.92 1 5 Transparency_score 300 3.11 1 1 5 Efficiency_score 300 3.12 0.8 1 5 Use_frequency_per_week 300 2.4 1.5 0 7 AI_awareness (%) 300 28.7 - 0 1 Table 2. Mean scores by education level Education Level N Trust_score Transparency_score Efficiency_score Secondary 80 2.95 2.87 2.91 Bachelor 120 3.35 3.22 3.25 Master 80 3.62 3.48 3.52 PhD 20 3.8 3.7 3.65 Figure 1 Histogram of trust score International Journal of Advanced Natural Sciences and Engineering Researches 17 The histogram displays the distribution of citizen trust scores in e-governance services using a 1–5 Likert scale. The pattern shows a clear concentration of responses in the middle range, with most scores falling between 2 and 4, indicating moderate overall trust among respondents. The highest frequency occurs around the 3–3.5 range, suggesting that citizens generally view e-governance as somewhat reliable but not fully trustworthy. Only a small number of respondents selected the lowest trust values (1–1.8), showing that strong distrust is relatively uncommon. Scores near the upper end of the scale (4.5–5) appear but with lower frequency, indicating that high trust exists but is not widespread. The slight right-leaning shape of the distribution suggests that perceptions are more positive than negative, although there is still noticeable variation in citizen attitudes. Overall, the histogram demonstrates that citizens in Bangladesh hold cautious but generally favorable views of e-governance. This distribution highlights the importance of improving system reliability, communication clarity, and user experience to increase trust levels further. B. Case Study: Service Time Pre/Post E-Governance The municipal case study included n = 120 service requests (permits, certificates, etc.). Average service times were reduced after e-governance implementation. Table 3. Service time before and after e-governance Measure Mean (days) SD Min Max Before 12.45 3.13 7 20 After 8.38 3.2 4 16 A paired t-test indicated a statistically significant reduction in service time (t = 11.2, p < 0.001), demonstrating that e-governance adoption improves administrative efficiency. Figure 2. Boxplots of service time before and after e-governance International Journal of Advanced Natural Sciences and Engineering Researches 18 The boxplots illustrate the change in administrative service time before and after the introduction of egovernance in the municipal case study. The “Before” boxplot shows a noticeably higher median service time—approximately 12–13 days—with a wider interquartile range (IQR), indicating greater variability and inconsistency in processing speed across service requests. Several cases also fall above the upper whisker, suggesting delays and potential administrative inefficiencies. By contrast, the “After” boxplot demonstrates a clear improvement: the median service time drops to approximately 7–8 days, and the IQR becomes narrower. This indicates not only faster but also more predictable service delivery following digitalization. The lower whisker also shortens, showing fewer extremely delayed cases after e-governance implementation. Overall, the visualization suggests a substantial reduction in both processing duration and variance, consistent with the expectation that egovernance minimizes bureaucratic bottlenecks and enhances administrative efficiency. Interpretation These simulated results support the hypothesis that e-governance reduces service time, increases procedural predictability, and may reduce citizen–bureaucrat friction by streamlining administrative workflows. C. Regression / ANOVA Analysis A simple Ordinary Least Squares (OLS) regression model was used to assess the relationship between citizens’ trust in e-governance and two key predictors: education level and awareness of AI in public services. Education was represented through dummy variables (Bachelor, Master, PhD) using “Below Bachelor” as the reference category. AI awareness was coded as a binary variable (0 = unaware, 1 = aware). 1. Simulated Regression Equation Trust_score = 2.75+0.25(Bachelor)+0.35(Master)+0.45(PhD)+0.20(AI_awareness)+ ε Interpretation of Coefficients • Constant (β₀ = 2.75): Represents the expected trust score for respondents with below-Bachelor education and no awareness of AI. This baseline indicates a moderate level of trust even before accounting for education or AI awareness. • Bachelor (+0.25): Respondents with a Bachelor’s degree are estimated to score 0.25 points higher in trust compared to those with lower educational levels. This suggests that higher educational attainment is associated with greater confidence in digital public services. • Master (+0.35): Individuals with a Master’s degree show an even greater increase in trust, with +0.35 points above the baseline. This trend reinforces the positive relationship between advanced education and digital service trust. • PhD (+0.45): The strongest effect is observed among PhD holders, who have an estimated 0.45-point higher trust score. This may reflect deeper digital literacy, awareness of public administration processes, and familiarity with technological systems. • AI Awareness (+0.20): Respondents who are aware of AI applications in government services report 0.20 points higher trust than those unaware. This suggests that technological awareness may improve confidence in automated or digital decision-making systems.