Rescollacomm (E-Journals)
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The Role of Informal Channels in Shaping Local Political Communication: Insights from Bogor, Indonesia
The relationship between executive and legislative institutions is a key pillar of subnational governance in Indonesia, especially during the era of regional autonomy. This article examines how informal political mechanisms shaped political communication between the Mayor of Bogor and the Bogor City Council (DPRD) during the 2014–2019 period. The study employs a qualitative single-case design based on in-depth interviews with key political actors—including the mayor, council speaker, faction leaders, local media executives, and local political observers—complemented by document and media analysis. Data were analyzed using Miles, Huberman, and Saldaña\u27s interactive model of data reduction, display, and conclusion drawing. The findings show that informal communication channels, such as interpersonal lobbying, private meetings, and social–religious gatherings, play a more decisive role than formal procedures in building trust, negotiating policy trade-offs, and preventing open conflict between the executive and legislature. Informal politics functions as a complementary and accommodating informal institution that fills the gaps in formal rules and enhances political resilience by providing an early warning and conflict prevention mechanism. Simultaneously, formal procedures remain essential as a framework for legitimacy and accountability. The article conceptualises these dynamics as a form of trust-based political communication within a hybrid political communication system at the local level and discusses their implications for democratic accountability and executive–legislative collaboration in Indonesia\u27s semi-presidential context
How Do Political Actors on Social Media Drive Public Interest and Participation?
The intensification of political actors communication on social media has reshaped patterns of public political engagement, yet the mechanisms linking these interactions remain contested. This study examines the influence of political actors’ communication on political interest and political participation among residents of Bogor, while also evaluating whether political interest mediates this relationship. Using linear regression and a mediation analysis with PROCESS Model 4, the results show that political actors’ communication significantly increases political interest (B = 0.559; p < 0.05) and political participation (B = 0.316; p < 0.05). However, political interest does not significantly affect participation (B = 0.033; p > 0.05) and does not serve as a mediator, as indicated by a non-significant indirect effect (LLCI = –0.0064; ULCI = 0.0439). These findings reveal a direct-only effect, suggesting that political participation is driven more by impression-based and emotionally framed digital communication than by cognitive processes rooted in political interest. Beyond its statistical conclusions, this study underscores how social media environments can prompt individuals to engage in political behaviors even in the absence of strong intrinsic interest, highlighting the performative, immediate, and affective nature of political communication in digital spaces. Overall, the study enriches the understanding of contemporary political engagement by demonstrating that affective cues and online visibility play a more dominant role than traditional interest-based motivations, aligning with the principles of Communication Mediation Theory and Impression Management in the context of modern political communication
Descriptive Analysis of the Impact of a Cashless Society on Gen Z Spending Patterns
The phenomenon of a cashless society has fundamentally transformed Generation Z’s consumption behavior through the increased adoption of digital payment methods such as e-wallets, digital bank transfers, and QRIS. This descriptive study analyzes primary data from 100 Generation Z respondents (aged 17–27 years) in Sukabumi Regency using a questionnaire instrument based on a 5-point Likert scale and frequency distribution analysis. The results show that the frequency of cashless usage reaches 5–20 times per month for 68% of respondents, with high mean scores for perceptions of ease of daily payments (4.35 ± 0.72), transaction efficiency compared to cash (4.43 ± 0.71), and time savings in online shopping (4.40 ± 0.72). However, a significant increase in impulsive buying behavior was identified, occurring 3–5 times per month among 48 respondents, along with moderate perceptions of inclusive accessibility for all segments of society (3.92 ± 0.84) and data security risk (3.55 ± 1.23). These findings are consistent with the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), leading to recommendations for strengthening digital financial literacy education, improving network infrastructure, and developing impulse-control features within payment applications
The Role of Quality Performance Metrics on Improving Procurement Effectiveness: A Case of Higher Education Students’ Loans Board, Tanzania
Procurement effectiveness for public sector is triggered by the fact that, performance measurements determine the extent of improvement in relation to the outputs and the efforts made. The government has made number of efforts in public procurement management however, there are still challenges related to poor quality in the implementation of the procurement processes. This study assessed the role of quality performance metrics for procurement effectiveness in HESLB. The specific objectives were identifying the role of compliance rate on improving quality and determining the influence of supplier defect rate on improving quality. The findings were analyzed using descriptive statistics and thematic techniques. The study variables; regulatory compliance, contract management compliance, transparency and documentation as well as staff training on compliance were significant indicators representing the role of compliance rate on quality performance improvement. Conformance to specifications, testing and inspection, information flow, and vendor rating were recognized as significant in verifying supplier defect rate on quality improvement. The study concluded that quality performance metrics ensures transparency and accountability, mitigate and reduce procurement risks, enhance regulatory and contractual compliances, smoothens record keeping and traceability, build trust, supplier relationship management, as well as minimizing the unnecessary reworking costs
Drivers of Kausha Damu Practices in Tanzania: A Study of Socio-Economic, Institutional, and Cultural Factors Influencing Predatory Lending among Women Borrowers in Tanzania
The study investigated the factors influencing predatory lending in Tanzania highlighting the importance of institutional, socio-economic and cultural factors among women borrowers. Specifically, the study assessed the extent institutional, socio-economic and cultural factors have been contributing on predatory lending among women borrowers, and analysed the relationship between institutional, socio-economic and cultural factors; and predatory lending represented by excessively higher interest rate, high and hidden fees, aggressive sales tactics and higher default rate as signs of predatory lending. Descriptive research design following mixed method approach was employed in this study. The study was carried out in Dodoma Urban, Temeke and Morogoro Urban districts. The targeted population comprised of all women borrowers in these districts. The sampling frame consisted women who borrow from microfinance institutions, individual lenders and online lending platforms. The study applied both purposive and random sampling methods to select respondents and key informants (KIs). The purposive sampling technique was used to select three district community development officers as KIs, while random sampling technique was used to select 100 women borrowers from each districts, and thus make up of sample size of 300 respondents. Data were collected through self-administered questionnaire and in-depth interview; and analysed through descriptive statistics based on mean, standard deviation, range and correlations; and content analysis respectively. The findings revealed that the extent institutional, socio-economic and cultural factors influence predatory lending is very high. Also, the results show that institutional, socio-economic and cultural factors correlates with predatory lending. The results of binary logistic regression show those who reported that institutional, socio-economic and cultural factors are not favourable to them were likely to borrow from predatory lender. Based on the findings, this study concludes that women are multi-vulnerable across multiple factors: institutional, socio-economic and cultural; to predatory lending. Thus, the study calls for increased efforts to enforcement of stricter regulations on lending practices of microfinance and online lending platforms
Factors Affecting Performance of Framework Contract In Public Sector: A Case of Muhimbili University of Health and Allied Sciences
Framework contracts have become prevalent in public procurement. This is in an attempt to increase efficiency, reduce administrative fees, and increase timely delivery of commodities and services. However, the usage of framework contracts by Muhimbili University of Health and Allied Sciences (MUHAS) is slowed down by challenges related to the management of the contracts, capacity, and the performance of the supplier. This research offers empirical evidence of factors contributing to the performance of Framework Contracts. It examined the effect of Procurement Management Practices (PMP), Supplier Relationship Management (SRM), and Monitoring & Evaluation Systems (MES) on a mixed methods research design of a case study in collaboration with 65 procurement officers, contract managers, and suppliers. On describing the quantitative data through analysis using regression analysis, it was found that PMP (B = 0.779, p < 0.001), SRM (B = 0.429, p < 0.001), and MES (B = 0.189, p = 0.019) are highly predictive of factors resulting in good performance of the contract (R² = 0.849). This research also concludes in agreement through triangulation of the results indicating effective procurement, trust, and monitoring & evaluation contributing towards enhanced efficiency, compliance, & delivery of services. It also concludes that upgrading the processes of purchase, collaboration, & monitoring & evaluation of purchase as highly essential
The London Exodus: A Spatial Analysis of Public Health Shocks and Economic Drivers of Internal Migration During the COVID-19 Pandemic
The COVID-19 pandemic in 2020 triggered a significant urban exodus in major global cities, shifting internal migration patterns in unprecedented ways. This study investigates the determinants of internal net migration across 33 London boroughs to understand the drivers behind this population displacement. Utilizing a spatial econometric framework, the research integrates public health indicators (COVID-19 cases), economic variables (housing prices and GDP), and geographic characteristics (population density and distance to the city center) into an enriched Ordinary Least Squares (OLS) model. The methodology is validated through rigorous diagnostic testing, including Heteroskedasticity-Consistent (HC1) standard errors and spatial autocorrelation checks (Moran\u27s I), confirming that spatial feature engineering sufficiently captures geographic dependencies. The results reveal that the public health shock was the primary driver of the exodus; total COVID-19 cases exhibited a highly significant negative correlation with net migration, indicating that boroughs with higher infection burdens experienced larger population outflows. Population density acted as a secondary push factor, while traditional economic drivers such as housing prices and regional GDP were statistically insignificant. These findings suggest a temporary paradigm shift where immediate health security outweighed economic maximization in residential location decisions during the crisis
Bankruptcy Risk Evaluation of Indonesian Coal Mining Companies Using the Zmijewski and Taffler Models
The coal mining industry plays a vital role in Indonesia’s economy through export activities and domestic energy supply. However, it faces high risks due to fluctuations in commodity prices and global policy changes. This study aims to analyze the bankruptcy risk of coal mining companies in Indonesia using the Zmijewski and Taffler prediction models. The research employs a quantitative approach utilizing secondary data from the financial statements of coal mining companies listed on the Indonesia Stock Exchange. The findings are expected to provide a comparison of the accuracy and consistency of both models in predicting bankruptcy risk, as well as serve as a reference for stakeholders in assessing the financial stability of the coal mining sector.
Keywords: bankruptcy risk, coal mining, Zmijewski model, Taffler model
Optimal Control Strategies for a Hoax Transmission Model
Recently, information spreads swiftly and widely through social media and other online platforms. However, this rapid flow of information is often followed by an increasing circulation of inaccurate or misleading content, commonly known as hoaxes. A hoax refers to false, deceptive, or unfounded information that is spread either intentionally or unintentionally. Typically, hoaxes are crafted in such a way that they appear to be credible news, with the aim of influencing public perception, spreading disinformation, or gaining political or economic advantages. This research investigates the spread of hoaxes within human populations based on a transmission model developed in earlier studies. The main contribution of this work lies in refining the model by incorporating an education parameter as a control strategy to identify the optimal level of education required to reduce the dissemination of hoaxes. The optimal control approach applied is the Pontryagin minimum principle. The model also takes into account both asymptomatic and symptomatic infected individuals, including the transition from asymptomatic to symptomatic cases. Numerical simulations demonstrate that applying this control strategy results in a faster decrease in the number of symptomatic infected individuals compared to conditions without any control interventio
Exploring South Africa’s Policy Dilemmas and Strategic Pathways
This study had two primary objectives. It aimed to present sterilised facts on South Africa’s recent economic performance and its underlying drivers, and to propose actionable policy measures for addressing related socioeconomic challenges. The study reveals that while the democratic government has made strides in addressing historical disparities, significant gaps persist, particularly in tackling income and wealth inequality, enhancing state legitimacy, and promoting equitable economic opportunities and outcomes for all. The country continues to grapple with deep-rooted issues, including disparities in education, deteriorating infrastructure, widespread unemployment and inequality, and systemic corruption. The government should prioritise educational equity by investing in under-resourced schools, attracting skilled educators, and fostering inclusive learning environments. There is also a pressing need to strengthen infrastructure management, prioritise ongoing maintenance, and channel resources into research and development to spur innovation. To address inequality, the government should implement supply-side solutions, focusing on skill development, supporting small businesses, and enforcing fair labour practices. Combating corruption requires principled leadership, transparent governance, and active citizen engagement. Implementing these measures could help ease structural constraints and deliver both medium and long-term socioeconomic gains