Laporan analisis Structural Equation Modeling (SEM) menggunakan paket lavaan dengan estimator WLSMV untuk menguji faktor pendorong mahasiswa dalam mengadopsi teknologi AI.Menggunakan data 437 responden, penelitian ini memperluas model TAM klasik dengan menambahkan konstruk Subjective Norms dan Trust. Dokumen ini mencakup tahapan lengkap mulai dari data cleansing (eliminasi indikator SN2), uji validitas CFA, uji reliabilitas CR & AVE, evaluasi Goodness of Fit (CFI/TLI = 0.997), hingga pengujian 4 hipotesis utama. Hasil menunjukkan seluruh hipotesis diterima, dengan Attitude Toward Using sebagai prediktor paling dominan terhadap Actual Usage AI secara nyata.

Use variables Board Size, Independence, Meetings, Net Profit, Total Assets, ROA, ROE for INALA and the RES companies.

Descrição em Português A estratégia PRISMA utilizada neste estudo permitiu identificar e organizar os artigos científicos provenientes de diferentes bases de dados. No total, foram recuperados 75 registros, distribuídos entre Scopus (13 artigos), Web of Science (10 artigos), Science Direct (18 artigos), SciELO (10 artigos) e outras fontes (24 artigos). As “outras fontes” correspondem a artigos enviados diretamente pelos orientadores e disponibilizados pela própria instituição. Após a etapa de identificação, os estudos passaram pelo processo de seleção e elegibilidade, considerando critérios previamente estabelecidos para inclusão e exclusão. Durante a fase de exclusão, 20 artigos foram removidos por não atenderem aos critérios metodológicos e temáticos definidos para a revisão. Ao final do processo PRISMA, 55 artigos foram incluídos na análise final, compondo a base científica utilizada neste estudo. Description in English The PRISMA strategy applied in this study enabled the identification and organization of scientific articles retrieved from different databases. A total of 75 records were identified, distributed among Scopus (13 articles), Web of Science (10 articles), Science Direct (18 articles), SciELO (10 articles), and other sources (24 articles). The “other sources” category refers to articles directly provided by supervisors and made available through the institution itself.

The purpose of this Analysis is to conduct a comparative volatility analysis of ESG and benchmark portfolios on the Johannesburg Stock Exchange. Specifically, it examines the FTSE/JSE Responsible Investment Index (J113) as a representative ESG portfolio and the FTSE/JSE All Share Index (J203) as a conventional market benchmark. By applying advanced volatility modelling techniques, including GARCH (1, 1) and EGARCH models, the study seeks to uncover differences in volatility levels, persistence, and asymmetric responses to market shocks between ESG and benchmark indices. Furthermore, it evaluates the risk-adjusted performance of both portfolios to determine whether ESG integration enhances portfolio resilience and offers superior risk-reward outcomes in an emerging market context.

Public libraries function as civic and social infrastructure whose value depends partly on residents’ ability to physically reach them. This study evaluates whether the spatial allocation of Quezon City Public Library (QCPL) branches aligns with barangay-level population demand under pedestrian-network constraints. Rather than treating branch presence or straight-line proximity as sufficient evidence of access, the study conceptualizes public-library equity as the distribution of potential service exposure produced by the interaction of branch supply, population concentration, and network impedance. Barangay-level pedestrian accessibility is measured using shortest network distance to the nearest QCPL branch, cumulative distance thresholds, population-weighted coverage, geodesic-network comparison, district disparity analysis, and spatial clustering diagnostics. Accessibility burden is operationalized through population-distance exposure and evaluated using Moran’s I, Local Moran’s I (LISA), and Getis-Ord Gi* statistics. Results indicate substantial inequities in pedestrian accessibility. Only 36 of 142 barangays, representing 452,646 residents or 14.7% of the city population, fall within an 800 m network-distance catchment. Coverage increases to 49.8% of the population within 1,600 m and 73.7% within 2,400 m, leaving 812,484 residents beyond the 2,400 m threshold. Mean network distance (1,441.3 m) substantially exceeds mean geodesic distance (918.2 m), and 87.3% of barangays exhibit network distances more than 25% longer than their geodesic equivalents, demonstrating that straight-line proximity systematically overestimates practical pedestrian access. Spatial autocorrelation analysis reveals statistically significant clustering of accessibility burden, with high-burden hot spots concentrated in northern Quezon City, particularly Districts 2, 5, and 6. The findings demonstrate that branch counts and circular buffers alone are insufficient indicators of equitable public-library provision. The study contributes a network-based, population-weighted, and spatially explicit framework for evaluating urban public-service accessibility and offers an applied methodology for infrastructure-equity planning in Global South cities.

Predicting fraud transactions using is_fraudulent(predicted variable), amount, card_type, location, purchase_category, customer_age. However, only purchase_category variable was statistically significant to predict Fraudulent behavior.